| Literature DB >> 35693564 |
Afshin Goodarzi1,2, Efat Sadeghian3, Keivan Babaei1, Masoud Khodaveisi4.
Abstract
Background: Making appropriate decisions for cardiopulmonary resuscitation (CPR) is very challenging for healthcare providers. This study aimed to evaluate knowledge, attitude, and decision making about do-not-resuscitate (DNR) and termination of resuscitation (ToR) among nurses in the resuscitation team.Entities:
Keywords: Cardiopulmonary resuscitation; DNR order; Ethics; Resuscitation Orders
Mesh:
Year: 2022 PMID: 35693564 PMCID: PMC9175214 DOI: 10.4314/ejhs.v32i2.22
Source DB: PubMed Journal: Ethiop J Health Sci ISSN: 1029-1857
The relationships of participants' demographic characteristics with their DNR and ToR knowledge
| Variables | Mean±SD or | DNR | P | TOR | P | |
|
| 23–54 | 34.63±18.8 | 48 (79.79) | <0.001 | 29 (72.21) | 0.203 |
|
| 1–30 | 10.32±7.80 | 48 (78.85) | 0.001 | 29 (70.03) | 0.360 |
|
| Male | 40 (31.2) | 16 (40) | 0.694 | 8 (20) | 0.628 |
| Female | 88 (68.8) | 32 (36.36) | 21 (23.86) | |||
|
| Single | 56 (43.8) | 16 (28) | 0.066 | 12 (21) | 0.77 |
| Married | 72 (56.3) | 32 (44) | 17 (24) | |||
|
| Bachelor's | 103 (80.5) | 29 (28) | <0.001 | 14 (14) | <0.001 |
| Master's | 25 (19.5) | 19 (76) | 15 (60) | |||
|
| Yes | 68 (53.1) | 26 (38.23) | 0.85 | 15 (22.05) | 0.864 |
|
| No | 60 (46.9) | 22 (36.66) | 14 (23.33) | ||
The relationships of participants' demographic characteristics, DNR knowledge, and ToR knowledge with their CPR-related decisions
| Variables | Decision on | Decision on | Decision on | ||||
|
| 23–54 | 128 (0.083) | 0.350 | 128 (0.169) | 0.102 | 128 (0.150) | 0.101 |
| 1–30 | 128 (0.105) | 0.238 | 128 (0.153) | 0.124 | 128 (0.144) | 0.104 | |
|
| Single | 56 (66.56) | 0.522 | 56 (60.04) | 0.199 | 56 (62.97) | 0.639 |
| Married | 72 (62.90) | 72 (6797) | 72 (65.69) | ||||
| Bachelor's | 103 (61.92) | 0.046 | 103 (58.24) | <0.001 | 103 (65.86) | 0.336 | |
| Master's | 25 (75.12) | 25 (90.30) | 25 (58.90) | ||||
| Yes | 68 (66.72) | 0.406 | 68 (69.48) | 0.083 | 68 (58.66) | 0.030 | |
| No | 60 (61.98) | 60 (58.86) | 60 (71.12) | ||||
|
| Male | 40 (65.69) | 0.778 | 40 (68.11) | 0.426 | 40 (73.59) | 0.033 |
| Female | 78 (63.96) | 88 (62.86) | 88 (60.37) | ||||
| Yes | 48 (73.83) | 0.011 | 48 (66.28) | 0.652 | 48 (61.97) | 0.494 | |
| No | 80 (58.90) | 80 (63.43) | 80 (66.02) | ||||
|
| Yes | 29 (75.41) | 0.038 | 29 (81.12) | 0.003 | 29 (67.21) | 0.556 |
| No | 99 (61.30) | 99 (59.63) | 99 (63.71) |
CC- Correction cooficient
The predictors of DNR knowledge and ToR knowledge
| Dependent | Independent | B | S.E. | Wald | df | Sig. | Exp |
| DNR | Age | –.055 | 0.076 | 0.537 | 1 | 0.464 | 0.946 |
| Marital status | –.425 | 0.450 | 0.891 | 1 | 0.345 | 0.654 | |
| Work experience | 0.017 | 0.079 | 0.048 | 1 | 0.826 | 1.017 | |
| Educational level | 1.863 | 0.542 | 11.820 | 1 | 0.001 | 6.440 | |
| Constant | 1.032 | 1.992 | 0.269 | 1 | 0.604 | 2.808 | |
| ToR | Educational level | 2.255 | 0.499 | 20.395 | 1 | 0.000 | 9.536 |
| Constant | 0-.405 | 0.408 | 0.986 | 1 | 0.321 | 0.667 |
The predictors of DNR decision, ToR decision, and slow code decision
| Dependent | Independent | Estimate | Std. | Wald | df | Sig. | 95% confidence | |
| Lower | Upper | |||||||
| DNR | DNR knowledge | 0.696 | 0.421 | 2.741 | 1 | 0.098 | –0.128 | 1.521 |
| Termination | 0.350 | 0.483 | 0.526 | 1 | 0.468 | –0.596 | 1.296 | |
| Educational level | 0.224 | 0.490 | 0.208 | 1 | 0.648 | 0.737 | 1.184 | |
| 0a | . | . | 0 | . | . | . | ||
| ToR | Educational level | 1.392 | 0.460 | 9.181 | 1 | 0.002 | 0.492 | 2.293 |
| Get training | 0.524 | 0.341 | 2.362 | 1 | 0.124 | –0.144 | 1.193 | |
| Termination | 0.735 | 0.431 | 2.903 | 1 | 0.088 | –0.111 | 1.580 | |
| 0a | . | . | 0 | . | . | . | ||
| Slow code | Get training | –0.812 | 0.360 | 5.080 | 1 | 0.024 | –1.518 | -0.106 |
| Gender | 0.866 | 0.375 | 5.342 | 1 | 0.021 | 0.132 | 1.600 | |
| 0a | . | . | 0 | . | . | . | ||